Zobrazeno 1 - 10
of 251
pro vyhledávání: '"DISTRIBUTED HYDROLOGIC MODEL"'
Publikováno v:
Hydrology Research, Vol 54, Iss 4, Pp 591-605 (2023)
The grid-based Xin'anjiang model (GXM) has been widely applied to flood forecasting. However, when the model warm-up period is long and the amount of input data is large, the computational efficiency of the GXM is obviously low. Therefore, a GXM para
Externí odkaz:
https://doaj.org/article/a3e812ea193d40218277eee607dcffd9
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 1, Pp 126-139 (2023)
Skillful streamflow forecasts can inform decisions in various areas of water policy and management. We integrate numerical weather prediction ensembles, distributed hydrological model, and machine learning to generate ensemble streamflow forecasts at
Externí odkaz:
https://doaj.org/article/5e019af133c34ed897c9adca02af02c3
Publikováno v:
Applied Water Science, Vol 13, Iss 2, Pp 1-19 (2022)
Abstract Distributed modeling approach may have much better performance and accuracy compared with lumped-parameter hydrologic models. The main goals of this research are: investigating the possibility of combining distributed hydrological models wit
Externí odkaz:
https://doaj.org/article/629d6ec6e29a4dbf8e4b5403a1d3189c
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Forecasting, Vol 2, Iss 4, Pp 526-548 (2020)
When there exist catchment-wide biases in the distributed hydrologic model states, state updating based on streamflow assimilation at the catchment outlet tends to over- and under-adjust model states close to and away from the outlet, respectively. T
Externí odkaz:
https://doaj.org/article/32d969ccd76044d3a51b2381ef04db4b
Autor:
Quentin Chaffaut, Nolwenn Lesparre, Frédéric Masson, Jacques Hinderer, Daniel Viville, Jean-Daniel Bernard, Gilbert Ferhat, Solenn Cotel
Publikováno v:
Frontiers in Water, Vol 3 (2022)
In mountain areas, both the ecosystem and the local population highly depend on water availability. However, water storage dynamics in mountains is challenging to assess because it is highly variable both in time and space. This calls for innovative
Externí odkaz:
https://doaj.org/article/a9f6a5af4b72488e8c70e9b292740b1f
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 38, Iss , Pp 100939- (2021)
Study region: The Sirikit Dam in the Nan River Basin is located on a main tributary of the Chao Phraya River in Thailand. Study focus: This study investigates forecasting river flows and real-time optimization of dam release using a distributed hydro
Externí odkaz:
https://doaj.org/article/d5852aaf49474934b3f73a754b030b2f
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100856- (2021)
Study region: The Nam Ngum River Basin, the major tributary of the Mekong River, is located in the Laos PDR. Study focus: This study aims to assess the sensitivity of Nam Ngum 1 reservoir operation to water resource uncertainty driven by a combinatio
Externí odkaz:
https://doaj.org/article/f5a484999e2346fbba061e2f38773d52
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.